Fuzzy control has become one of the most effective tools for dealing with complex
engineering processes. Over the years, research on fuzzy control systems has continuously …

Fuzzy control has long been applied to industry with several important theoretical results
and successful results. Originally introduced as model-free control design approach, model …

In this article, an event-triggered robust fuzzy adaptive prescribed performance finite-time
control strategy is presented for a class of strict-feedback nonlinear systems with external …

This article applies an incremental online identification algorithm to develop a set of evolving
fuzzy models (FMs) that characterize the nonlinear finger dynamics of the human hand for …

Path planning and obstacle avoidance in 3D terrain have been identified as a monumental
challenge for a UAV in a variety of autonomous missions, such as disaster management …

In this work, we propose a trajectory tracking method based on optimized Q-Learning (QL),
which has real-time obstacle avoidance capability, for controlling wheeled mobile robots in …

In this article, a novel model-free dynamic inversion-based Q-learning (DIQL) algorithm is
proposed to solve the optimal tracking control (OTC) problem of unknown nonlinear input …

This article proposes a predefined-time synchronization and tracking control strategy for
multimotor driving servo systems. First, a mean relative coupling synchronization controller …

Iterative learning control (ILC) is an iterative control strategy which calculates a new input
according to the error in previous cycles. It is widely used in industries with repetitive …

This paper presents the design and implementation of a Shunt Active Filter (SAF) for aircraft
power networks using an accurate wide-band current control method based on Iterative …